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Home Page: https://arxiv.org/abs/2403.09898
License: Apache License 2.0
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
Home Page: https://arxiv.org/abs/2403.09898
License: Apache License 2.0
How to install causal conv1d and mamba-sms
Hi, I recently run the code and the MSE results(and so on) is OK. However, although the model costs relatively low gpu memory, its training speed is really really slow, have you ever encountered a similar situation? Take Weather_96_96 as an example, TimeMachine costs 380s for one epoch while PatchTST only needs 40s...
I run the script "sh ./scripts/TimeMachine/weather.sh",and at the second training epoch, it occured nan training loss problem.
I print the per step loss, can you help me solve this problem?
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